Sentence examples for underlying variance from inspiring English sources

Exact(33)

Second, a feature that codes for perceived loudness may explain some of the underlying variance.

First, a feature that codes for speech intelligibility is likely to explain some of the underlying variance in the regression.

Also, it is very similar to the results of intelligence batteries using human subjects where a general factor has typically been reported to explain from 38 50% of the underlying variance [18].

The median rs from the 10,000 replicates reflects the correlation based on the median pairwise diversity and the confidence interval obtained from the distribution of the statistic for the resampled data reflects the underlying variance in the estimate of pairwise diversity.

Collectively, however, common GWAS variants account for only a modest proportion (~30%%) of the underlying variance in disease susceptibility [ 12].

The DMU software package [ 5] was used in all statistical analyses, assuming known (true) underlying variance components.

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Similar(27)

It will be important to determine whether the residual variance relates to underlying variability in RSFC measurement over time, or signal noise that persists.

The variance matrix of ĝ, which we denote by V, is available via the prediction error variance matrix, and the underlying spline variance matrix as outlined [ 23].

As in Figure 3, this range does not correspond to a credibility interval on individual measurements, but rather on an expected underlying (population) variance, from which individual variance measurements are sampled.

The reasonably small sample sizes used in these sample variance measurements are likely to underestimate the underlying heteroplasmy variance (the target of our inference).

In this section, we describe the assumed quantitative genetic model underlying genetic variance for macro- and micro-environmental sensitivities, the statistical model to estimate genetic variance in macro- and micro-environmental sensitivities, and the AIC based on an approximation of the h-likelihood that can be used to select the best fitting model.

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